Literature DB >> 33502797

The link between health and economic preferences: Evidence from 22 OECD countries.

Xi Cen1, David W Johnston2, Claryn S J Kung2, Michael A Shields2, Eric C Sun1.   

Abstract

We study the link between health status and economic preferences using survey data from 22 Organisation for Economic Co-operation and Development (OECD) countries. We hypothesize that there is a relationship between poor health and the preferences that people hold, and therefore their choices and decisions. We find that individuals with a limiting health condition are more risk averse and less patient, and that this is true for physical and mental health conditions. The magnitudes of the health gap are approximately 60% and 70% of the gender gap in risk and time preferences, respectively. Importantly, the health gaps are large for males, females, young, old, school dropouts, degree holders, employed, nonemployed, rich, and poor. They also hold for countries with different levels of gross domestic product (GDP), inequality, social expenditure, and disease burden.
© 2021 John Wiley & Sons Ltd.

Entities:  

Keywords:  gallup; health condition; patience; preferences; risk aversion

Mesh:

Year:  2021        PMID: 33502797      PMCID: PMC8262080          DOI: 10.1002/hec.4225

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  9 in total

1.  Health shocks and risk aversion.

Authors:  Simon Decker; Hendrik Schmitz
Journal:  J Health Econ       Date:  2016-10-08       Impact factor: 3.883

2.  Mental health and the response to financial incentives: Evidence from a survey incentives experiment.

Authors:  Claryn S J Kung; David W Johnston; Michael A Shields
Journal:  J Health Econ       Date:  2018-09-29       Impact factor: 3.883

3.  Global burden of asthma among children.

Authors:  I Asher; N Pearce
Journal:  Int J Tuberc Lung Dis       Date:  2014-11       Impact factor: 2.373

4.  Can present biasedness explain early onset of diabetes and subsequent disease progression? Exploring causal inference by linking survey and register data.

Authors:  Morten Raun Mørkbak; Dorte Gyrd-Hansen; Trine Kjær
Journal:  Soc Sci Med       Date:  2017-05-26       Impact factor: 4.634

5.  How Much Does Risk Tolerance Change?

Authors:  Claudia R Sahm
Journal:  Q J Finance       Date:  2012

6.  Present bias and health.

Authors:  Yang Wang; Frank A Sloan
Journal:  J Risk Uncertain       Date:  2018-10-25

7.  The rise in chronic conditions among infants, children, and youth can be met with continued health system innovations.

Authors:  James M Perrin; L Elizabeth Anderson; Jeanne Van Cleave
Journal:  Health Aff (Millwood)       Date:  2014-12       Impact factor: 6.301

8.  Relationship of gender differences in preferences to economic development and gender equality.

Authors:  Armin Falk; Johannes Hermle
Journal:  Science       Date:  2018-10-19       Impact factor: 47.728

9.  What is self-rated health and why does it predict mortality? Towards a unified conceptual model.

Authors:  Marja Jylhä
Journal:  Soc Sci Med       Date:  2009-06-10       Impact factor: 4.634

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.